361 citations · 518 across the 20 of their papers we have counts for
3 papers · 1 filter
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
Riccardo Volpi, Pietro Morerio, Silvio Savarese +1
Recent works showed that Generative Adversarial Networks (GANs) can be successfully applied in unsupervised domain adaptation, where, given a labeled source dataset and an unlabele…
Curriculum Dropout
Pietro Morerio, Jacopo Cavazza, Riccardo Volpi +2
Dropout is a very effective way of regularizing neural networks. Stochastically "dropping out" units with a certain probability discourages over-specific co-adaptations of feature…
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines
Matteo Zanotto, Riccardo Volpi, Alessandro Maccione +3
The retina is a complex nervous system which encodes visual stimuli before higher order processing occurs in the visual cortex. In this study we evaluated whether information about…